Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

50 / 518 papers shown

Title
Bi-Level Policy Optimization with Nyström Hypergradients Arjun Prakash Naicheng He Denizalp Goktas Amy Greenwald 2 0 0 16 May 2025
Hand-Shadow Poser Hao Xu Yinqiao Wang Niloy J. Mitra Shuaicheng Liu Pheng-Ann Heng Chi-Wing Fu 3DH 36 0 0 11 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery Abhijit Gupta 31 0 0 11 May 2025
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong Junfeng Yang Wei-Ting Yao Jin Zhang 177 0 0 04 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wei Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Improving Learning to Optimize Using Parameter Symmetries Guy Zamir Aryan Dokania B. Zhao Rose Yu 27 0 0 21 Apr 2025
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection Long Qian Bingke Zhu Yingying Chen Ming Tang Jinqiao Wang 43 0 0 17 Apr 2025
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition Hongyu Qu Ling Xing Rui Yan Yazhou Yao G. Xie Xiangbo Shu 34 0 0 14 Apr 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bulent Sariyildiz Philippe Weinzaepfel Thomas Lucas Pau de Jorge Diane Larlus Yannis Kalantidis 58 0 0 18 Mar 2025
Riemannian Geometric-based Meta Learning JuneYoung Park YuMi Lee Tae Joon Kim Jang-Hwan Choi 55 0 0 14 Mar 2025
Meta-learning characteristics and dynamics of quantum systems Lucas Schorling Pranav Vaidhyanathan Jonas Schuff M. J. Carballido D. Zumbuhl Gerard Milburn Florian Marquardt Jakob Foerster Michael A. Osborne N. Ares AI4CE 46 1 0 13 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 53 2 0 10 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 58 0 0 05 Mar 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Pranav Vaidhyanathan Aristotelis Papatheodorou Mark T. Mitchison Natalia Ares Ioannis Havoutis PINN AI4CE 49 1 0 23 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization Sheng Fang Yong Liu Wei-Ting Yao Chengming Yu Jin Zhang 97 0 0 03 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
One-Class Domain Adaptation via Meta-Learning Stephanie Holly T. Bierweiler Stefan von Dosky Ahmed Frikha C. Heitzinger Jana Eder 80 0 0 22 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 52 1 0 20 Jan 2025
On Penalty-based Bilevel Gradient Descent Method Han Shen Quan-Wu Xiao Tianyi Chen 60 51 0 08 Jan 2025
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 57 3 0 31 Dec 2024
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 60 0 0 31 Dec 2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 31 0 0 23 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence Honglin Yang Ji Ma Xiao Yu 74 0 0 16 Dec 2024
Exploring the Generalization Capabilities of AID-based Bi-level Optimization C. L. Philip Chen Li Shen Zhiqiang Xu Wei Liu Zhi-Quan Luo Peilin Zhao 73 1 0 25 Nov 2024
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Wenwen Qiang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 61 0 0 11 Nov 2024
Learning Where to Edit Vision Transformers Yunqiao Yang Long-Kai Huang Shengzhuang Chen Kede Ma Ying Wei KELM 42 1 0 04 Nov 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 41 3 0 30 Oct 2024
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 38 0 0 25 Oct 2024
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 57 0 0 21 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao Tianyu Pang Chao Du Taihang Hu Zhijie Deng Min Lin DiffM 45 8 0 16 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations Shen Fan Przemyslaw Musialski AI4CE 21 0 0 16 Oct 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach Yuntian Gu Xuzheng Chen 16 0 0 15 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 24 0 0 14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation Peijia Qin Ruiyi Zhang Pengtao Xie 34 1 0 13 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu Minghui Zhu OffRL 30 1 0 13 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning Nusrat Jahan Prottasha Asif Mahmud Md. Shohanur Islam Sobuj Prakash Bhat Md. Kowsher Niloofar Yousefi O. Garibay 35 4 0 11 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers Connor W. Magoon Fengyu Yang Noam Aigerman Shahar Z. Kovalsky 33 0 0 08 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania Marko Mihajlovic Sergey Prokudin Jacek Tabor Przemysław Spurek 30 1 0 07 Oct 2024
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization Gustav Wagner Zakarias Lars Kai Hansen Zheng-Hua Tan 51 0 0 03 Oct 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu Xiaoyuan Luo Linhao Qu Shuo Wang Ying Xiong Ilias Maglogiannis Longxiang Gao Manning Wang 31 1 0 29 Sep 2024
Differentially Private Bilevel Optimization Guy Kornowski 183 0 0 29 Sep 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 50 2 0 28 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 39 1 0 28 Sep 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences Jason Bohne David Rosenberg Gary Kazantsev Pawel Polak 32 0 0 16 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Wenwen Qiang Chuxiong Sun Hui Xiong Jiangmeng Li 51 1 0 13 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 30 1 0 05 Sep 2024
Dynamics of Meta-learning Representation in the Teacher-student Scenario Hui Wang Cho Tung Yip Bo Li 43 0 0 22 Aug 2024
Semi-Supervised One-Shot Imitation Learning Philipp Wu Kourosh Hakhamaneshi Yuqing Du Igor Mordatch Aravind Rajeswaran Pieter Abbeel SSL 32 1 0 09 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps Yifan Zhu Pranay Thangeda Erica Tevere Ashish Goel Erik Kramer Hari Nayar Melkior Ornik Kris K. Hauser 35 0 0 06 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 77 7 0 28 Jul 2024